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2010 – 2019
- 2019
[j1]Zhongyi Lin
, Matthew Yih, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik:
Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection. IEEE Trans. Intell. Veh. 4(3): 385-395 (2019)- [c9]Alexander Masalov, Pavel Matrenin, Jeffrey M. Ota, Florian Wirth, Christoph Stiller, Heath Corbet, Eric Lee:
Specialized Cyclist Detection Dataset: Challenging Real-World Computer Vision Dataset for Cyclist Detection Using a Monocular RGB Camera. IV 2019: 114-118 - [c8]Zhenzhen Weng, Paroma Varma, Alexander Masalov, Jeffrey M. Ota, Christopher Ré:
Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data. IV 2019: 119-125 - [c7]Florian Wirth, Jannik Quehl, Jeffrey M. Ota, Christoph Stiller:
PointAtMe: Efficient 3D Point Cloud Labeling in Virtual Reality. IV 2019: 1693-1698 - 2018
- [c6]Matthew Yih, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik:
FPGA versus GPU for Speed-Limit-Sign Recognition. ITSC 2018: 843-850 - [c5]Zhongyi Lin, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik:
Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset. Intelligent Vehicles Symposium 2018: 1197-1203 - [c4]Alexerand Masalov, Jeffrey M. Ota, Heath Corbet, Eric Lee, Adam Pelley:
CyDet: Improving Camera-based Cyclist Recognition Accuracy with Known Cycling Jersey Patterns. Intelligent Vehicles Symposium 2018: 2143-2149 - 2011
- [c3]Vladimir Glavtchev, Pinar Muyan-Özçelik, Jeffrey M. Ota, John D. Owens:
Feature-based speed limit sign detection using a graphics processing unit. Intelligent Vehicles Symposium 2011: 195-200 - 2010
- [c2]Pinar Muyan-Özçelik, Vladimir Glavtchev, Jeffrey M. Ota, John D. Owens:
A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing. DAGM-Symposium 2010: 162-171 - [c1]Florian Homm, Nico Kaempchen, Jeffrey M. Ota, Darius Burschka:
Efficient occupancy grid computation on the GPU with lidar and radar for road boundary detection. Intelligent Vehicles Symposium 2010: 1006-1013
Coauthor Index
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